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Physical Sciences and Mathematics Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Models Of Pasture Production To Aid On-Farm Decision Making In New Zealand, J A. Baars, M D. Rollo
Models Of Pasture Production To Aid On-Farm Decision Making In New Zealand, J A. Baars, M D. Rollo
IGC Proceedings (1993-2023)
Two microcomputer-based predictive pasture models, for use in decision making by agricultural consultants and industry, are described. The first model (GRASS) was developed to understand the interactions between environment and management. The second model supplies pasture growth rates for current or predicted weather conditions by adjustment of stored actual average fortnightly pasture growth rates for a wide range of measurement sites. Ways are described in which the models are being used in transfer of technology.
Micro-Computer Version Of The Database On Feed Commodities Derived From Pastures And Green Crops, H T. Ostrowski-Meissner
Micro-Computer Version Of The Database On Feed Commodities Derived From Pastures And Green Crops, H T. Ostrowski-Meissner
IGC Proceedings (1993-2023)
The subunit of the national feed database devoted specifically to feeds derived from grasslands and green crops is presented. This collection of chemical and nutritional data is the result of 20 years of data collection from analyses conducted from 62 laboratories Australia-wide, The data entries are classified according to each Australian state and laboratory which provided the analytical and nutritional characteristics of fodder. Each entry is classified according to the International Feed Numbering (IFN) system as maintained by the International Network of Feed Information Centres (INFIC), The data in the collection as presented in the paper are an integral part …
Plant List Of Accepted Nomenclature, Taxonomy And Symbols, J S. Peterson
Plant List Of Accepted Nomenclature, Taxonomy And Symbols, J S. Peterson
IGC Proceedings (1993-2023)
The Plant List of Accepted Nomenclature, Taxonomy & Symbols (PLANTS) is a dynamic database providing scientific and vernacular names, distributional, growth form, origin, symbols and bibliographic standardised botanical data to US federal agencies. PLANTS encompasses the vascular plant, moss, lichen and liverwort flora of North America, north of the Mexico border, including US states and territories.
The Plants Database: Providing Basic Plant Information, J S. Peterson, J F. Henson, W Oaks, J T. Kartesz
The Plants Database: Providing Basic Plant Information, J S. Peterson, J F. Henson, W Oaks, J T. Kartesz
IGC Proceedings (1993-2023)
The PLANTS database provides basic plant information to the United States Department of Agriculture (USDA), Natural Resources Conservation Service (NRCS), its clients, cooperators, and the general public via the World Wide Web (Fig. 1). The foundation of PLANTS is a taxonomic backbone (checklist) of the vascular and nonvascular plants of North America (north of Mexico) and United States territories in the Caribbean and Pacific regions. Attribute data are appended to this backbone pertaining to distribution, vegetative specifications, nativity, federal and state status, crop data, growth form, growth parameters, species abstracts, and images.
Forage Data Hub – A Platform For Sharing Valuable Datasets For Resilience, Amanda J. Ashworth, L. Marshall, J. J. Volenec, M. Berti, E. Van Santen, C. Williams, V. Gopakumar, J. Foster, V. Picasso, J. Su
Forage Data Hub – A Platform For Sharing Valuable Datasets For Resilience, Amanda J. Ashworth, L. Marshall, J. J. Volenec, M. Berti, E. Van Santen, C. Williams, V. Gopakumar, J. Foster, V. Picasso, J. Su
IGC Proceedings (1993-2023)
In accord with the necessity to enhance ecosystem services and productivity in food systems, is the increase of data availability at multiple scales and over time. To help meet this need, we discuss the development of a National Forage Data Hub which will act as a platform to curate, share, and analyze data pertaining to forage systems. This centralized hub will leverage existing datasets by bridging multiple sources including forage crop—soil, water, and nutrient availability—yield (animal and crop) potential (and gaps)— climate—management systems at high spatial and temporal resolution enabling system interaction assessments through next-generation analytics. This novel approach to …